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It is expressed as stochastic bursts of expression, time averaging buffering the burst, propagation, and eventual amplification of fluctuations.
Mutations do not express immediately after exposure and require an expression time before they can be detected.
The consensus clustering of the differentially expressed genes thus unravels gene clusters with distinct expression time profiles.
Upon increasing the expression time to 48 h, the Sav FBS typically increases by 40%.
White, R. J. et al. A high-resolution mRNA expression time course of embryonic development in zebrafish.
Slightly higher Sav yields can be achieved if the expression time is increased to 48 h using the same culture volume.
Similar(10)
A novel hidden Markov model (HMM) and clustering algorithm for the analysis of gene expression time-course data is proposed.
A key task in this area is the automated inference or reverse-engineering of dynamic mechanistic GRN models from gene expression time-course data.
Boolean networks can be inferred directly from experimental gene expression time-series data (Akutsu et al. 1999, D'haeseleer et al. 2000).
The parameters of the equations have to be inferred from the expression time-course data.
This result is supported by the gene expression time-course of pAMT and Pun1.
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